A clinical trial reported by researchers at CU Anschutz found that an AI-driven automated oxygen delivery system helped hospitalized patients stay within prescribed oxygen ranges for a significantly higher share of monitored time than standard clinician-managed oxygen therapy. The system achieved 85% of monitored time in the target range versus 63% in the usual-care group. The report frames the trial as a step toward more precise oxygen titration—an area where clinician decisions can vary and where both under- and over-oxygenation can affect outcomes. The study adds to growing interest in closed-loop monitoring systems that continuously adjust therapy based on real-time patient data. If replicated across broader patient populations and endpoints, the approach could influence how hospitals implement decision support for respiratory care and resource-intensive monitoring workflows.